Relevant bibliographies by topics / Parametric Space

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Parametric Space'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Parametric Space"

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Taş, Nihal, and Nihal Yılmaz Özgür. "On ParametricS-Metric Spaces and Fixed-Point Type Theorems for Expansive Mappings." Journal of Mathematics 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/4746732.

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We introduce the notion of a parametricS-metric space as generalization of a parametric metric space. Using some expansive mappings, we prove a fixed-point theorem on a parametricS-metric space. It is important to obtain new fixed-point theorems on a parametricS-metric space because there exist some parametricS-metrics which are not generated by any parametric metric. We expect that many mathematicians will study various fixed-point theorems using new expansive mappings (or contractive mappings) in a parametricS-metric space.
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GAZOR, MAJID, and PEI YU. "INFINITE ORDER PARAMETRIC NORMAL FORM OF HOPF SINGULARITY." International Journal of Bifurcation and Chaos 18, no. 11 (November 2008): 3393–408. http://dx.doi.org/10.1142/s0218127408022445.

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In this paper, we introduce a suitable algebraic structure for efficient computation of the parametric normal form of Hopf singularity based on a notion of formal decompositions. Our parametric state and time spaces are respectively graded parametric Lie algebra and graded ring. As a consequence, the parametric state space is also a graded module. Parameter space is observed as an integral domain as well as a vector space, while the near-identity parameter map acts on the parametric state space. The method of multiple Lie bracket is used to obtain an infinite order parametric normal form of codimension-one Hopf singularity. Filtration topology is revisited and proved that state, parameter and time (near-identity) maps are continuous. Furthermore, parametric normal form is a convergent process with respect to filtration topology. All the results presented in this paper are verified by using Maple.
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Ali, Muhammad Usman, Hassen Aydi, Asma Batool, Vahid Parvaneh, and Naeem Saleem. "Single and Multivalued Maps on Parametric Metric Spaces Endowed with an Equivalence Relation." Advances in Mathematical Physics 2022 (January 28, 2022): 1–11. http://dx.doi.org/10.1155/2022/6188108.

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This article presents the E -parametric metric space, which is a generalized concept of parametric metric space. After that, the discussion is concerned with the existence of fixed points of single and multivalued maps on E -parametric metric spaces satisfying some contractive inequalities defined by an auxiliary function.
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Golz, Marcel, Erik Panzer, and Oliver Schnetz. "Graphical functions in parametric space." Letters in Mathematical Physics 107, no. 6 (December 20, 2016): 1177–92. http://dx.doi.org/10.1007/s11005-016-0935-6.

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Fries, William D., Xiaolong He, and Youngsoo Choi. "LaSDI: Parametric Latent Space Dynamics Identification." Computer Methods in Applied Mechanics and Engineering 399 (September 2022): 115436. http://dx.doi.org/10.1016/j.cma.2022.115436.

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Nakamura, Tadas K., and C. F. Kennel. "Parametric Cyclotron Resonance in Space Plasmas." Journal of Geophysical Research 98, A12 (1993): 21335–39. http://dx.doi.org/10.1029/93ja01523.

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Januszkiewicz, Krystyna, and Karol G. Kowalski. "Parametric Architecture in the Urban Space." IOP Conference Series: Materials Science and Engineering 245 (October 2017): 052082. http://dx.doi.org/10.1088/1757-899x/245/5/052082.

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Karger, Adolf. "The Darboux theorem on plane trajectories of two-parametric space motions." Applications of Mathematics 33, no. 6 (1988): 417–42. http://dx.doi.org/10.21136/am.1988.104322.

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Pushkar, Svetlana. "Relationship between Project Space Types, Optimize Energy Performance Credit, and Project Size in LEED-NC Version 4 (v4) Projects: A Case Study." Buildings 12, no. 6 (June 20, 2022): 862. http://dx.doi.org/10.3390/buildings12060862.

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A previous study (Pushkar 2021) showed a significant non-parametric correlation between the Optimize Energy Performance credit from the energy and atmosphere category (EAc7) and project size in Leadership in Energy and Environmental Design for New Construction and Major Renovations version 4 (LEED-NC v4) office space projects. However, in such an empirical analysis, there are at least two problems: the choice between parametric and non-parametric statistics, and the choice between the Wilcoxon–Mann–Whitney (WMW) and analysis of covariance (ANCOVA) non-parametric tests. This study aims to evaluate EAc7 credit achievement for different types of spaces in LEED-NC v4 projects. We show that, in order to evaluate the differences between two LEED data groups, (1) a non-parametric procedure is preferable to a parametric one, and (2) if there is Spearman’s correlation between EAc7 credit achievement and project size for the same LEED-NC v4 project, then Quade’s ANCOVA is preferable to WMW. The results of these tests show that, in two out of three cases, office space projects had better EAc7 credit achievement than higher-education spaces at the gold certification level and public assembly spaces at the silver certification level.
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Osman, M. S., A. M. Abd Elazeem, M. A. Elsisy, and M. M. Rashwan. "Duality in the fuzzy-parametric space for fuzzy-parametric nonlinear programming problem." OPSEARCH 55, no. 3-4 (November 2018): 662–76. http://dx.doi.org/10.1007/s12597-018-0344-y.

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Dissertations / Theses on the topic "Parametric Space"

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Silva, Soto Daniel Alejandro. "Personalised finite-element models using image registration in parametric space." Thesis, University of Sheffield, 2014. http://etheses.whiterose.ac.uk/8584/.

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Heart failure (HF) is a chronic clinical condition in which the heart fails to pump enough blood to meet the metabolic needs of the body. Patients have reduced physical performance and can see their quality of life severely impaired; around 40-70% of patients diagnosed of HF die within the first year following diagnosis. It is underestimated that 900,000 people in the UK currently suffer from HF. HF has a big impact on the NHS, representing 1 million inpatient bed, 5% of all emergency medical admission to hospitals and costs 2% of the total NHS budget. The annual incidence of new diagnoses is reported as 93,000 people in England alone – and this figure is already increasing at a rate above that at which population is ageing [1]. Cardiac resynchronisation therapy (CRT) has become established as an effective solution to treat selected patients with HF. The research presented in this thesis has been conducted as part of a large EPSRC-Funded project on the theme of Grand Challenges in Heathcare, with co-investigators from King’s College London (KCL), Imperial College London, University College London (UCL) and the University of Sheffield. The aim is to develop and to apply modelling techniques to simulate ventricular mechanics and CRT therapy in patient cohorts from Guy’s Hospital (London) and from the Sheffield Teaching Hospitals Trust. This will lead to improved understanding of cardiac physiological behaviour and how diseases affect normal cardiac performance, and to improved therapy planning by allowing candidate interventions to be simulated before they are applied on patients. The clinical workflow within the hospital manages the patient through the processes of diagnosis, therapy planning and follow-up. The first part of this thesis focuses on the development of a formal process for the integration of a computational analysis workflow, including medical imaging, segmentation, model construction, model execution and analysis, into the clinical workflow. During the early stages of the project, as the analysis workflow was being compiled, a major bottle-neck was identified regarding the time required to build accurate, patient-specific geometrical meshes from the segmented images. The second part of this thesis focuses on the development of a novel approach based on the use of image registration to improve the process of construction of a high-quality personalised finite element mesh for an individual patient. Chapter 1 summarises the clinical context and introduces the tools and processes that are applied in this thesis. Chapter 2 describes the challenges and the implementation of a computational analysis workflow and its integration into a clinical environment. Chapter 3 describes the theoretical underpinnings of the image registration algorithm that has been developed to address the problem of construction of high-quality personalised meshes. The approach includes the use of regularisation terms that are designed to improve the mesh quality. The selection and implementation of the regularisation terms is discussed in detail in Chapter 4. Chapter 5 describes the application of the method to a series of test problems, whilst Chapter 6 describes the application to the patient cohort in the clinical study. Chapter 7 demonstrates that the method, developed for robust mesh construction, can readily be applied to determine boundary conditions for computational fluid dynamics (CFD) analysis. Chapter 8 provides a summary of the achievements of the thesis, together with suggestions for further work.
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Nikpour, Mehdi. "Toeplitzness of Composition Operators and Parametric Toeplitzness." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1346951238.

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BARROSO, VITOR BARATA RIBEIRO BLANCO. "EFFICIENT FLUID SIMULATION IN THE PARAMETRIC SPACE OF THREE-DIMENSIONAL STRUCTURED GRIDS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28689@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO
BOLSA NOTA 10
Fluidos são extremamente comuns em nosso mundo e têm papel central em muitos fenômenos naturais. A compreensão de seu comportamento tem importância fundamental em uma vasta gama de aplicações e diversas áreas de pesquisa, da análise de fluxo sanguíneo até o transporte de petróleo, da exploração do fluxo de um rio até a previsão de maremotos, tempestades e furacões. Na simulação de fluidos, a abordagem conhecida como Euleriana é capaz de gerar resultados bastante corretos e precisos, mas as computações envolvidas podem se tornar excessivamente custosas quando há a necessidade de tratar fronteiras curvas e obstáculos com formas complexas. Este trabalho aborda esse problema e apresenta uma técnica Euleriana rápida e direta para simular o escoamento de fluidos em grades estruturadas parametrizadas tridimensionais. O principal objetivo do método é tratar de forma correta e eficiente as interações de fluidos com fronteiras curvas, incluindo paredes externas e obstáculos internos. Para isso, são utilizadas matrizes Jacobianas por célula para relacionar as derivadas de campos escalares e vetoriais nos espaços do mundo e paramétrico, o que permite a resolução das equações de Navier-Stokes diretamente no segundo, onde a discretização do domínio torna-se simplesmente uma grade uniforme. O trabalho parte de um simulador baseado em grades regulares e descreve como adaptá-lo com a aplicação das matrizes Jacobianas em cada passo, incluindo a resolução de equações de Poisson e dos sistemas lineares esparsos associados, utilizando tanto iterações de Jacobi quanto o método do Gradiente Biconjugado Estabilizado. A técnica é implementada na linguagem de programação CUDA e procura explorar ao máximo a arquitetura massivamente paralela das placas gráficas atuais.
Fluids are extremely common in our world and play a central role in many natural phenomena. Understanding their behavior is of great importance to a broad range of applications and several areas of research, from blood flow analysis to oil transportation, from the exploitation of river flows to the prediction of tidal waves, storms and hurricanes. When simulating fluids, the so-called Eulerian approach can generate quite correct and precise results, but the computations involved can become excessively expensive when curved boundaries and obstacles with complex shapes need to be taken into account. This work addresses this problem and presents a fast and straightforward Eulerian technique to simulate fluid flows in three-dimensional parameterized structured grids. The method s primary design goal is the correct and efficient handling of fluid interactions with curved boundary walls and internal obstacles. This is accomplished by the use of per-cell Jacobian matrices to relate field derivatives in the world and parameter spaces, which allows the Navier-Stokes equations to be solved directly in the latter, where the domain discretization becomes a simple uniform grid. The work builds on a regular-grid-based simulator and describes how to apply Jacobian matrices to each step, including the solution of Poisson equations and the related sparse linear systems using both Jacobi iterations and a Biconjugate Gradient Stabilized solver. The technique is implemented efficiently in the CUDA programming language and strives to take full advantage of the massively parallel architecture of today s graphics cards.
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Chau, Thi Tuyet Trang. "Non-parametric methodologies for reconstruction and estimation in nonlinear state-space models." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S010/document.

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Le volume des données disponibles permettant de décrire l’environnement, en particulier l’atmosphère et les océans, s’est accru à un rythme exponentiel. Ces données regroupent des observations et des sorties de modèles numériques. Les observations (satellite, in situ, etc.) sont généralement précises mais sujettes à des erreurs de mesure et disponibles avec un échantillonnage spatio-temporel irrégulier qui rend leur exploitation directe difficile. L’amélioration de la compréhension des processus physiques associée à la plus grande capacité des ordinateurs ont permis des avancées importantes dans la qualité des modèles numériques. Les solutions obtenues ne sont cependant pas encore de qualité suffisante pour certaines applications et ces méthodes demeurent lourdes à mettre en œuvre. Filtrage et lissage (les méthodes d’assimilation de données séquentielles en pratique) sont développés pour abonder ces problèmes. Ils sont généralement formalisées sous la forme d’un modèle espace-état, dans lequel on distingue le modèle dynamique qui décrit l’évolution du processus physique (état), et le modèle d’observation qui décrit le lien entre le processus physique et les observations disponibles. Dans cette thèse, nous abordons trois problèmes liés à l’inférence statistique pour les modèles espace-états: reconstruction de l’état, estimation des paramètres et remplacement du modèle dynamique par un émulateur construit à partir de données. Pour le premier problème, nous introduirons tout d’abord un algorithme de lissage original qui combine les algorithmes Conditional Particle Filter (CPF) et Backward Simulation (BS). Cet algorithme CPF-BS permet une exploration efficace de l’état de la variable physique, en raffinant séquentiellement l’exploration autour des trajectoires qui respectent le mieux les contraintes du modèle dynamique et des observations. Nous montrerons sur plusieurs modèles jouets que, à temps de calcul égal, l’algorithme CPF-BS donne de meilleurs résultats que les autres CPF et l’algorithme EnKS stochastique qui est couramment utilisé dans les applications opérationnelles. Nous aborderons ensuite le problème de l’estimation des paramètres inconnus dans les modèles espace-état. L’algorithme le plus usuel en statistique pour estimer les paramètres d’un modèle espace-état est l’algorithme EM qui permet de calculer itérativement une approximation numérique des estimateurs du maximum de vraisemblance. Nous montrerons que les algorithmes EM et CPF-BS peuvent être combinés efficacement pour estimer les paramètres d’un modèle jouet. Pour certaines applications, le modèle dynamique est inconnu ou très coûteux à résoudre numériquement mais des observations ou des simulations sont disponibles. Il est alors possible de reconstruire l’état conditionnellement aux observations en utilisant des algorithmes de filtrage/lissage dans lesquels le modèle dynamique est remplacé par un émulateur statistique construit à partir des observations. Nous montrerons que les algorithmes EM et CPF-BS peuvent être adaptés dans ce cadre et permettent d’estimer de manière non-paramétrique le modèle dynamique de l’état à partir d'observations bruitées. Pour certaines applications, le modèle dynamique est inconnu ou très coûteux à résoudre numériquement mais des observations ou des simulations sont disponibles. Il est alors possible de reconstruire l’état conditionnellement aux observations en utilisant des algorithmes de filtrage/lissage dans lesquels le modèle dynamique est remplacé par un émulateur statistique construit à partir des observations. Nous montrerons que les algorithmes EM et CPF-BS peuvent être adaptés dans ce cadre et permettent d’estimer de manière non-paramétrique le modèle dynamique de l’état à partir d'observations bruitées. Enfin, les algorithmes proposés sont appliqués pour imputer les données de vent (produit par Météo France)
The amount of both observational and model-simulated data within the environmental, climate and ocean sciences has grown at an accelerating rate. Observational (e.g. satellite, in-situ...) data are generally accurate but still subject to observational errors and available with a complicated spatio-temporal sampling. Increasing computer power and understandings of physical processes have permitted to advance in models accuracy and resolution but purely model driven solutions may still not be accurate enough. Filtering and smoothing (or sequential data assimilation methods) have developed to tackle the issues. Their contexts are usually formalized under the form of a space-state model including the dynamical model which describes the evolution of the physical process (state), and the observation model which describes the link between the physical process and the available observations. In this thesis, we tackle three problems related to statistical inference for nonlinear state-space models: state reconstruction, parameter estimation and replacement of the dynamic model by an emulator constructed from data. For the first problem, we will introduce an original smoothing algorithm which combines the Conditional Particle Filter (CPF) and Backward Simulation (BS) algorithms. This CPF-BS algorithm allows for efficient exploration of the state of the physical variable, sequentially refining exploration around trajectories which best meet the constraints of the dynamic model and observations. We will show on several toy models that, at the same computation time, the CPF-BS algorithm gives better results than the other CPF algorithms and the stochastic EnKS algorithm which is commonly used in real applications. We will then discuss the problem of estimating unknown parameters in state-space models. The most common statistical algorithm for estimating the parameters of a space-state model is based on EM algorithm, which makes it possible to iteratively compute a numerical approximation of the maximum likelihood estimators. We will show that the EM and CPF-BS algorithms can be combined to effectively estimate the parameters in toy models. In some applications, the dynamical model is unknown or very expensive to solve numerically but observations or simulations are available. It is thence possible to reconstruct the state conditionally to the observations by using filtering/smoothing algorithms in which the dynamical model is replaced by a statistical emulator constructed from the observations. We will show that the EM and CPF-BS algorithms can be adapted in this framework and allow to provide non-parametric estimation of the dynamic model of the state from noisy observations. Finally the proposed algorithms are applied to impute wind data (produced by Méteo France)
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Lim, Ryan S. (Ryan Seungwook). "Staged attitude-metrology pointing control and parametric integrated modeling for space-based optical systems." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35574.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006.
Includes bibliographical references (p. 155-158).
The quest for higher sensitivity and finer angular resolution in astronomy demands larger and more complex space imaging systems. This thesis presents the concepts developed for two different technologies that have the potential to contribute in improving the performance of space imaging systems. The first technology is precision pointing control technology, which can provide fine optical control operating in conjunction with coarse formation flying attitude control in order to meet the stringent optical requirements. This will potentially enable a long baseline Formation Flying Interferometer (FFI) such as NASA's Terrestrial Planet Finder (TPF). The concept for precision pointing control was realized by a testbed called the Precision Pointing Optical Payload (PPOP). The design and implementation of the PPOP are described, followed by an experimental demonstration of staged pointing control. The global metrology system of the Synchronized Position Hold Engage Reorient Experimental Satellites (SPHERES) provides coarse attitude control, whereas the PPOP provides fine pointing control using a set of fast steering mirrors. The second technology investigates parametric integrated modeling of space telescopes.
(cont.) This technology provides a design tool for examining alternative telescope architectures and identifying favorable architectures at an early stage of the design lifecycle. The MIT Space Systems Laboratory (MIT-SSL) is currently developing a parametric integrated model for a Modular Optical Space Telescope (MOST). This thesis provides an overview of the MOST model, with emphasis on the development of the optics sub-model. ZEMAX is used for calculating the wave front error based on the Zernike sensitivity analysis. A data interface between ZEMAX and MATLAB has been developed, which makes the process of performing the Zernike sensitivity analysis automated.
by Ryan S. Lim.
S.M.
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Martens, Bas. "A fluid loop actuator for active spacecraft attitude control - A Parametric Sizing Model and the Design, Verification, Validation and Test with a Prototype on an Air Bearing." Master's thesis, Faculty of Engineering and the Built Environment, 2019. https://hdl.handle.net/11427/31621.

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Active spacecraft attitude control by using a pumped fluid as the inertial mass has potential advantages over reaction wheels, including high torque, lower power consumption, reduced jitter and prolonged lifetime. Previous work addressed conceptual and mission-specific control aspects, and one fluid loop has flown on a demonstration mission. In this dissertation, a parametric sizing model is developed that can optimize a fluid loop for any mission, based on pump capabilities and customer requirements. The model can be applied to circular, square and helical fluid loops, and includes the power consumption due to viscous friction. A configurable prototype was developed to verify the model, as well as a spherical air bearing to verify the rotational aspects of the various fluid loop configurations. The model was applied to various hypothetical missions. In conclusion, the fluid loop has the fundamental potential to replace reaction wheels in a wide variety of satellites above approximately 20 kg, if mass is carefully optimized and efforts are made to develop a suitable pump. This is considered worthwhile, as the actuator comes with many potential advantages.
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Gao, Haotian. "POD-Galerkin based ROM for fluid flow with moving boundaries and the model adaptation in parametric space." Diss., Kansas State University, 2018. http://hdl.handle.net/2097/38776.

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Doctor of Philosophy
Department of Mechanical and Nuclear Engineering
Mingjun Wei
In this study, a global Proper Orthogonal Decomposition (POD)-Galerkin based Reduced Order model (ROM) is proposed. It is extended from usual fixed-domain problems to more general fluid-solid systems with moving boundaries/interfaces. The idea of the extension is similar to the immersed boundary method in numerical simulations which uses embedded forcing terms to represent boundary motions and domain changes. This immersed boundary method allows a globally defined fixed domain including both fluid and solid, where POD-Galerkin projection can be directly applied. However, such a modified approach cannot get away with the unsteadiness of boundary terms which appear as time-dependent coefficients in the new Galerkin model. These coefficients need to be pre-computed for prescribed periodic motion, or worse, to be computed at each time step for non-prescribed (e.g. with fluid-structure interaction) or non-periodic situations. Though computational time for each unsteady coefficient is smaller than the coefficients in a typical Galerkin model, because the associated integration is only in the close neighborhood of moving boundaries. The time cost is still much higher than a typical Galerkin model with constant coefficients. This extra expense for moving-boundary treatment eventually undermines the value of using ROMs. An aggressive approach is to decompose the moving boundary/domain to orthogonal modes and derive another low-order model with fixed coefficients for boundary motion. With this domain decomposition, an approach including two coupled low-order models both with fixed coefficients is proposed. Therefore, the new global ROM with decomposed approach is more efficient. Though the model with the domain decomposition is less accurate at the boundary, it is a fair trade-off for the benefit on saving computational cost. The study further shows, however, that the most time-consuming integration in both approaches, which come from the unsteady motion, has almost negligible impact on the overall dynamics. Dropping these time-consuming terms reduces the computation cost by at least one order while having no obvious effect on model accuracy. Based on this global POD-Galerkin based ROM with forcing term, an improved ROM which can handle the parametric variation of body motions in a certain range is also presented. This study shows that these forcing terms not only represent the moving of the boundary, but also decouple the moving parameters from the computation of model coefficients. The decoupling of control parameters provides the convenience to adapt the model for the prediction on states under variation of control parameters. An improved ROM including a shit mode seems promising in model adaptation for typical problems in a fixed domain. However, the benefit from adding a shit mode to model diminishes when the method is applied to moving-boundary problems. Instead, a combined model, which integrates data from a different set of parameters to generate the POD modes, provides a stable and accurate ROM in a certain range of parametric space for moving-boundary problems. By introducing more data from a different set of parameters, the error of the new model can be further reduced. This shows that the combined model can be trained by introducing more and more information. With the idea of the combined model, the improved global ROM with forcing terms shows impressive capability to predict problems with different unknown moving parameters, and can be used in future parametric control and optimization problems.
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Larson, Brady M. "Exploring the Common Design Space of Dissimilar Assembly Parameterizations for Interdisciplinary Design." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2368.pdf.

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Wellstead, Kevin. "Robust polynomial controller design." Thesis, Brunel University, 1991. http://bura.brunel.ac.uk/handle/2438/4866.

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The work presented in this thesis was motivated by the desire to establish an alternative approach to the design of robust polynomial controllers. The procedure of pole-placement forms the basis of the design and for polynomial systems this generally involves the solution of a diophantine equation. This equation has many possible solutions which leads directly to the idea of determining the most appropriate solution for improved performance robustness. A thorough review of many of the aspects of the diophantine equation is presented, which helps to gain an understanding of this extremely important equation. A basic investigation into selecting a more robust solution is carried out but it is shown that, in the polynomial framework, it is difficult to relate decisions in the design procedure to the effect on performance robustness. This leads to the approach of using a state space based design and transforming the resulting output feedback controller to polynomial form. The state space design is centred around parametric output feedback which explicitly represents a set of possible feedback controllers in terms of arbitrary free parameters. The aim is then to select these free parameters such that the closed-loop system has improved performance robustness. Two parametric methods are considered and compared, one being well established and the other a recently proposed scheme. Although the well established method performs slightly better for general systems it is shown to fail when applied to this type of problem. For performance robustness, the shape of the transient response in the presence of model uncertainty is of interest. It is well known that the eigenvalues and eigenvectors play an important role in determining the transient behaviour and as such the sensitivities of these factors to model uncertainty forms the basis on which the free parameters are selected. Numerical optimisation is used to select the free parameters such that the sensitivities are at a minimum. It is shown both in a simple example and in a more realistic application that a significant improvement in the transient behaviour in the presence of model uncertainty can be achieved using the proposed design procedure.
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Patil, Aniket, and Girish Chebbi. "Exploring the design space of aluminium tubing using knowledge objects and FEM." Thesis, Jönköping University, JTH, Mechanical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-9074.

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Books on the topic "Parametric Space"

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Jurkowski, Jacek. High-speed generation of certain parametric space-curves. Warsaw: Institute of Computer Science, Polish Academy of Sciences, 1988.

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United States. National Aeronautics and Space Administration., ed. Numerical model of solar dynamic radiator for parametric analysis. [Washington, D.C.]: National Aeronautics and Space Administration, 1989.

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United States. National Aeronautics and Space Administration., ed. Numerical model of solar dynamic radiator for parametric analysis. [Washington, D.C.]: National Aeronautics and Space Administration, 1989.

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United States. National Aeronautics and Space Administration., ed. Parametric studies of phase change thermal energy storage canisters for Space Station Freedom. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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Du, Tiantian. Space layout and energy performance: Parametric optimisation of space layout for the energy performance of office buildings. Delft: BK Books, 2021.

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E, Myers David. Parametric weight comparison of advanced metallic, ceramic tile and ceramic blanket thermal protection systems. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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Bednarczuk, Ewa. Stability analysis for parametric vector optimization problems. Warszawa: Institute of Mathematics, Polish Academy of Sciences, 2007.

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Spazi per la vita degli uomini: Architettura e parametri. Firenze: ALINEA, 1985.

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Urunov, Asror. Regional economy. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1013012.

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The textbook presents the main categories of the regional economy, evaluation and sustainable development and the competitiveness of the region, theoretical terms about the economic area; specified properties, functions and factors of its formation. Disclosed parametric characteristics of the single economic space, and its possible life cycle. Outlines the economic evaluation methods and justify the location of production, state regulation of economy of regions of the Russian Federation, assessment of natural resource and socio-economic potential of the constituent entities, Federal districts. Meets the requirements of Federal state educational standards of higher education of the last generation. Designed for bachelors, masters, studying the discipline "Regional economy" as well as for postgraduates and teachers of economic universities, practitioners of economic services of enterprises and organizations. Can be useful for specialists of Federal and regional authorities.
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Korneva, V. V. Narechii︠a︡ i parametry prostranstvennoĭ kartiny mira: Monografii︠a︡. Voronezh: Voronezhskiĭ gos. universitet, 2008.

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Book chapters on the topic "Parametric Space"

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Shekhar, Shashi, and Hui Xiong. "Indexing, Parametric Space." In Encyclopedia of GIS, 518. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_611.

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Lastra, Alberto. "Parametrizations and Space Curves." In Parametric Geometry of Curves and Surfaces, 59–102. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81317-8_2.

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Franklin, Jason, Sagar Chaki, Anupam Datta, Jonathan M. McCune, and Amit Vasudevan. "Parametric Verification of Address Space Separation." In Lecture Notes in Computer Science, 51–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28641-4_4.

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Fernández-Baca, David. "Space-sweep algorithms for parametric optimization." In SWAT 90, 264–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-52846-6_95.

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Perjés, Zoltán. "The Parametric Manifold Picture of Space-Time." In Differential Geometric Methods in Theoretical Physics, 741–55. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-9148-7_72.

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Guo, Shang, James Robergé, and Thom Grace. "Controlling Movement Using Parametric Frame Space Interpolation." In Models and Techniques in Computer Animation, 216–27. Tokyo: Springer Japan, 1993. http://dx.doi.org/10.1007/978-4-431-66911-1_20.

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Daun, Thomas, and Stefan Heinrich. "Complexity of Banach Space Valued and Parametric Integration." In Monte Carlo and Quasi-Monte Carlo Methods 2012, 297–316. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41095-6_12.

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Primavera, Leonardo, Francesco Malara, Sergio Servidio, and Giuseppina Nigro. "Parametric Instability and Turbulent Cascades in Space Plasmas." In Turbulent Cascades II, 159–68. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12547-9_17.

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Gomberoff, L., and J. A. Araneda. "Damping Effects on Parametric Decays of Alfvén Waves." In Physics of Space: Growth Points and Problems, 103–6. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0904-1_12.

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Suparta, Wayan, and Wahyu Sasongko Putro. "Parametric Studies of ANFIS Family Capability for Thunderstorm Prediction." In Space Science and Communication for Sustainability, 11–21. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6574-3_2.

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Conference papers on the topic "Parametric Space"

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Schnabel, Marc Aurel. "Architectural Parametric Designing." In eCAADe 2006: Communicating Space(s). eCAADe, 2006. http://dx.doi.org/10.52842/conf.ecaade.2006.216.

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Schnabel, Marc Aurel. "Architectural Parametric Designing." In eCAADe 2006: Communicating Space(s). eCAADe, 2006. http://dx.doi.org/10.52842/conf.ecaade.2006.216.

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Tomlinson, Jr., Benny. "Parametric cryocooler performance prediction modeling." In Space Technology Conference and Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-4624.

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Hill, Terry M. "OPTIMIZATION IN PARAMETRIC DESIGN SPACE." In Flexible Automation and Integrated Manufacturing 1996. Connecticut: Begellhouse, 2023. http://dx.doi.org/10.1615/faim1996.420.

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MacNeal, B. E., and W. J. Hurd. "Parametric Cost Analysis of NASA's DSN Array." In Space OPS 2004 Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-636-433.

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Kamel, Ahmed, Mark McLaren, Jonathon Sheffield, and Kenneth Faller. "Parametric Error Correction for Imaging Systems." In AIAA SPACE 2007 Conference & Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-6104.

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Stahl, H. Philip, Todd Henrichs, and Courtnay Dollinger. "Parametric cost models for space telescopes." In International Conference on Space Optics 2010, edited by Naoto Kadowaki. SPIE, 2017. http://dx.doi.org/10.1117/12.2309130.

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Filippazzo, Giancarlo. "A Complexity Based Satellite Subsystem Cost and Time Estimating Parametric Model." In Space 2006. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-7214.

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Sun, Mingwei, Zenghui Wang, and Zengqiang Chen. "Parametric Trajectory Optimization of Boost-Glider." In 15th International Conference on Space Operations. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-2593.

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Schumann, Johann, Anupa Bajwa, Peter Berg, and Rajkumar Thirumalainambi. "Parametric Testing of Launch Vehicle FDDR Models." In AIAA SPACE 2010 Conference & Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-8868.

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Reports on the topic "Parametric Space"

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KOCH, MARK W., SEAN A. MCKENNA, and ROGER L. BILISOLY. Syndrome Surveillance Using Parametric Space-Time Clustering. Office of Scientific and Technical Information (OSTI), November 2002. http://dx.doi.org/10.2172/805872.

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Setayesh, A. A Parametric Study of the Release of CO2 in Space. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada236271.

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Ungar, Abraham A. Parametric Realization of the Lorentz Transformation Group in Pseudo-Euclidean Spaces. Jgsp, 2015. http://dx.doi.org/10.7546/jgsp-38-2015-39-108.

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THE TENSILE PERFORMANCE OF INTER-MODULE CONNECTION WITH A BOLT AND SHEAR KEY FITTING FOR MODULAR STEEL BUILDINGS. The Hong Kong Institute of Steel Construction, June 2023. http://dx.doi.org/10.18057/ijasc.2023.19.2.2.

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Modular steel buildings, as one of the most integrated prefabricated construction forms, have recently received extensive attention. The connection between modules (inter-module connection) plays a vital role in modular steel buildings’ overall performance. However, most of the existing inter-module connections have problems such as insufficient construction space, difficulty in disassembly, etc. This paper proposed an innovative inter-module connection with bolt and shear key fitting, which is convenient for construction and has a clear force transmission path. The proposed connection separates the load-bearing components and has a high tolerance for installation errors. The advantages of the connection in configuration and installation were introduced, and the tensile performance of the connection was investigated with the monotonic static test. A finite element model verified with the test was also proposed to simulate the performance of the connection, and the main bearing components and failure modes of the connection were obtained through parametric study with the finite element model. Combining the experimental and numerical study results, a formula was proposed for predicting the tension capacity of the connection for practical design of inter-module connection for modular steel buildings.
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